1 citations · 2 across the 4 of their papers we have counts for
4 papers
Detection of Gene-Gene Interactions by Multistage Sparse and Low-Rank Regression
Hung Hung, Yu-Tin Lin, Pengwen Chen +3
A daunting challenge faced by modern biological sciences is finding an efficient and computationally feasible approach to deal with the curse of high dimensionality. The problem be…
Robust Independent Component Analysis via Minimum Divergence Estimation
Peng-Wen Chen, Hung Hung, Osamu Komori +2
Independent component analysis (ICA) has been shown to be useful in many applications. However, most ICA methods are sensitive to data contamination and outliers. In this article w…
On Multilinear Principal Component Analysis of Order-Two Tensors
Hung Hung, Pei-Shien Wu, I-Ping Tu +1
Principal Component Analysis (PCA) is a commonly used tool for dimension reduction in analyzing high dimensional data; Multilinear Principal Component Analysis (MPCA) has the poten…
Nonparametric Methodology for the Time-Dependent Partial Area under the ROC Curve
Hung Hung, Chin-Tsang Chiang
To assess the classification accuracy of a continuous diagnostic result, the receiver operating characteristic (ROC) curve is commonly used in applications. The partial area under…